Python for Algorithmic Trading – Conda as a Package Manager in Docker (2)

Python for Algorithmic Trading (1)

Docker Container

This section goes into the details of what the docker technology can do in the context of Python deployment.

Building a Ubuntu and Python Docker Image

This dockerfile control the building procedure for the image itself. The Bash script in below will be installing three parts:

• Linux housekeeping
• Miniconda
• optional Python packages

Script installing Python and optional packages

#!/bin/bash
#
# Script to Install
# Linux System Tools and
# Basic Python Components
#
# Python for Algorithmic Trading
# (c) Dr. Yves J. Hilpisch
# The Python Quants GmbH
#
# GENERAL LINUX
apt-get update # updates the package index cache
apt-get upgrade -y # updates packages
# installs system tools
apt-get install -y bzip2 gcc git # system tools
apt-get install -y htop screen vim wget # system tools
apt-get upgrade -y bash # upgrades bash if necessary
apt-get clean # cleans up the package index cache
# INSTALL MINICONDA
# downloads Miniconda
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O \
 Miniconda.sh
bash Miniconda.sh -b # installs it
rm -rf Miniconda.sh # removes the installer
export PATH="/root/miniconda3/bin:$PATH" # prepends the new path
# INSTALL PYTHON LIBRARIES
conda install -y pandas # installs pandas
conda install -y ipython # installs IPython shell
# CUSTOMIZATION
cd /root/
wget http://hilpisch.com/.vimrc # Vim configuration

Dockerfile to build the image

FROM ubuntu:latest
# information about maintainer
MAINTAINER sean
# add the bash script
ADD install_miniconda.sh /
# change rights for the script
RUN chmod u+x /install_miniconda.sh
# run the bash script
RUN /install_miniconda.sh
# prepend the new path
ENV PATH /root/miniconda3/bin:$PATH
# execute IPython when container is run
CMD ["ipython"]

To do that, I’m going to create a folder on my computer(host)

git clone https://github.com/sikgyu/trading_algo.git

cd trading_algo

docker build -t pyalgo:basic .

# Docker images can be listed via docker images
docker images

You have built the image successfully. To run the image:

docker run -it pyalgo:basic

Exiting IPython will exit the container as well, since it is the only application running within the container. However, you can detach from a container via the following:

Ctrl+p –> Ctrl+q

you can attach the container by this commnad

docker attach $CONTAINER_ID